@InProceedings{MatiasStreAgui:2015:GeMaPr,
               author = "Matias, Jo{\~a}o Fillipe Generoso and Streck, Luciano and 
                         Aguilar, Damian Dulau",
                title = "Gera{\c{c}}{\~a}o de mapas de produtividade de milho (Zea mays) 
                         com {\'{\i}}ndice de vegeta{\c{c}}{\~a}o NDVI de imagens 
                         Landsat 8",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "157--162",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Precision Agriculture is a relatively new concept of 
                         ground-plant-atmosphere management. The map of the harvest is the 
                         most complete information to view the spatial variability of the 
                         fields, so that the aim of this project is to analyze the 
                         viability of using Normalized Difference Vegetation Index (NDVI) 
                         to determine zones with uniform productivity of corn and the 
                         correlation with the real productivity of the land, being able to 
                         calculate the production by zones to state different management 
                         zones for the next seasons. The study was made with date from a 
                         corn field in Baixa Grande do Ribeiro, Piau{\'{\i}}; and a image 
                         of Landsat 8 OLI / TIRS with an atmospheric correction done with 
                         DOS (Dark Object Subtraction) method, of the date June 5th. Of 
                         2014 in agreement with the vegetative peak of the crop. It was 
                         also made a classification of cluster K-means, that managed to 
                         identify three different management zones in the field. A 
                         correlation and lineal regression analysis was made between the 
                         productivity measured on the field and the one estimated with 
                         NDVI, getting coherent results. This work shows that it can be 
                         estimated the corn yield in different management zones based in 
                         NDVI and the average yield of the plot, because there is a direct 
                         relation between these parameters.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "35",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM44S7",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM44S7",
           targetfile = "p0035.pdf",
                 type = "Produ{\c{c}}{\~a}o e previs{\~a}o agr{\'{\i}}cola",
        urlaccessdate = "10 maio 2024"
}